Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
LangWatch records 52,098 monthly visits with +73% month-over-month growth and Contact for Pricing pricing. Voker records 3,234 monthly visits with -32.6% growth and Freemium, Free Trial, Contact for Pricing pricing.

Analytics for AI agents.
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | langwatch.ai | voker.ai |
| Pricing Model | Contact for Pricing | Freemium, Free Trial, Contact for Pricing |
| Monthly Visits | 52.1K (52,098) | 3.23K (3,234) |
| MoM Traffic Delta | +21.98K (+73%) | -1.57K (-32.6%) |
| Primary Market & Share | 🇺🇸 United States (46.7%) | 🇺🇸 United States (96.3%) |
| Direct Visits / mo | 28.99K | 1.27K |
| User Rating | 4.6 | 4.1 |
| Supported Platforms | Website | Website |

Agent observability, evals and governance for AI platform teams
Full GenAI spec support means traces from LangChain, LangGraph, CrewAI, Mastra, Pydantic AI, the Vercel AI SDK and any OTel-compatible stack land in the same view, with tokens, cost and cache accounted per span.
Score single outputs or entire conversations with an LLM judge, custom code or a workflow, run evals from a notebook or UI, and evaluate live production traffic in real time.
Simulated text and voice users push agents turn after turn in realistic scenarios, runnable locally and in CI, with tools, skills and MCP servers traced and mockable.
Route OpenAI, Anthropic, Google, Bedrock, Mistral and other providers through one endpoint using your own keys, with budgets per person, team and customer and around 11 microseconds of overhead.

Analytics for AI agents.
Wrap your existing OpenAI, Anthropic, Gemini or Vercel AI SDK client and every call is instrumented automatically with agent and session context.
Voker organizes activity by agent and by session, so you can follow a single conversation end to end and see how it developed.
Understand which intents users bring to your agent and how well the agent handles them, revealing where prompts or flows need work.
If you need more control, create custom events through the SDK or REST API to capture exactly the behavior you care about.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams

Free / Open-sourceOne key for 4,100+ agent tools, pay per call

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
AI gateway, observability and guardrails for production LLM apps

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

Free / Open-sourceOpen-source AI gateway with observability and evals built in
Free / Open-sourceOpen-source AI gateway with observability and evals built in

Free / Open-sourceThe collaboration layer for AI engineering teams
Free / Open-sourceThe collaboration layer for AI engineering teams

Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org
Free / Open-sourceStandardize LLM evaluation, observability, and red teaming across your whole org

Automated QA, simulation and observability for voice and chat AI agents
Free / Open-sourceOpen-source LLM observability and AI gateway for shipping reliable AI apps
Free / Open-sourceOpen-source LLM observability and AI gateway for shipping reliable AI apps

Verified agentic infrastructure for mission-critical enterprise systems